1. Aerosol absorption profiling from the synergy of lidar and sun-photometry: The ACTRIS-2 campaigns in Germany, Greece and Cyprus

    Tsekeri, A., Amiridis, V., Lopatin, A., Marinou, E., Giannakaki, E., Pikridas, M., Sciare, J., Liakakou, E., Gerasopoulos, E., Duesing, S., Corbin, J. C., Gysel, M., Bukowiecki, N., Baars, H., Engelmann, R., Wehner, B., Kottas, M., Mamali, D., Kokkalis, P., Raptis, P. I. & 13 othersStavroulas, I., Keleshis, C., Müller, D., Solomos, S., Binietoglou, I., Mihalopoulos, N., Papayannis, A., Stachlewska, I. S., Igloffstein, J., Wandinger, U., Ansmann, A., Dubovik, O. & Goloub, P., 13 Apr 2018, The Cloud-Aerosol Transport System (CATS) onboard the International Space Station (ISS), is a lidar system providing vertically resolved aerosol and cloud profiles since February 2015. In this study, the CATS aerosol product is validated against the aerosol profiles provided by the European Aerosol Research Lidar Network (EARLINET). This validation activity is based on collocated CATS-EARLINET measurements and the comparison of the particle backscatter coefficient at 1064nm.: Bucharest, Romania, June 25-30, 2017. Nicolae, D., Makoto, A. & Vassilis, A. (eds.). EDP Science, Vol. 176. 5 p. (EPJ Web of Conferences; vol. 176).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  2. Aerosol height retrieval from satellite visible measurements: Application to OMI 477 nm O2-O2 spectral band, based on Neural Networks

    Chimot, J., Veefkind, P., Vlemmix, T. & Levelt, P. F., 2017, In : Geophysical Research Abstracts (online). 19, 1 p., EGU2017-17783.

    Research output: Contribution to journalMeeting AbstractScientific

  3. Aerosol layer height from OMI and neural network: Evaluation and possibility of a 13-year time series?

    Chimot, J., Veefkind, P., van Ouwerkerk, G., Vlemmix, T. & Levelt, P. F., 2018, In : Geophysical Research Abstracts (online). 20, 1 p., EGU2018-16939.

    Research output: Contribution to journalMeeting AbstractScientific

  4. Aerosols correction of the OMI tropospheric NO2 retrievals over cloud-free scenes: Different methodologies based on the O2-O2 477 nm band

    Chimot, J., Vlemmix, T., Veefkind, P., Levelt, P. & Richter, A. (ed.), 2016, In : Geophysical Research Abstracts (online). 18, p. 1-1 1 p., EGU2016-13234.

    Research output: Contribution to journalMeeting AbstractScientific

  5. Air quality applications based on space observations: The role of the 11 years OMI data record and the potentials for TROPOMI

    Levelt, PF., Veefkind, JP., Kleipool, Q., Eskes, H., Mijling, B., Tamminen, J., Joiner, J. & Bhartia, PK., 2015, p. 1-1. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  6. Airborne ultrafine particles in a naturally ventilated metro station: Dominant sources and mixing state determined by particle size distribution and volatility measurements

    Mendes, L., Gini, M. I., Biskos, G., Colbeck, I. & Eleftheriadis, K., 1 Aug 2018, In : Environmental Pollution. 239, p. 82-94 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. An analytical model for the description of the full-polarimetric sea surface Doppler signature

    Fois, F., Hoogeboom, P., Le Chevalier, F. & Stoffelen, A., 2015, In : Journal Of Geophysical Research-Oceans. 120, 2, p. 988-1015 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nmO2 O2 spectral band using a neural network approach

    Chimot, J., Veefkind, J. P., Vlemmix, T., De Haan, J. F., Amiridis, V., Proestakis, E., Marinou, E. & Levelt, P. F., 8 Mar 2017, In : Atmospheric Measurement Techniques. 10, 3, p. 783-809 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. An idealized description for the diurnal cycle of the dry atmospheric boundary layer

    van Hooft, A., Baas, P., van Tiggelen, M., Ansorge, C. & van de Wiel, B., 2019, In : Journal of the Atmospheric Sciences. 76, 12, p. 3717-3736 20 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. An investigation on sea surface wave spectra and approximate scattering theories

    Fois, F., Hoogeboom, P., Le Chevalier, F. & Stoffelen, A., 2014, Proceedings of the International Geoscience and Remote Sensing Symposium. Bernier, M. (ed.). Piscataway, NJ, USA: IEEE Society, p. 4366-4369 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  11. Analysis of microphysical processes in fog

    Li, Y., Hoogeboom, P., Russchenberg, H. W. J. & Klein Baltink, H., 2014, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII. SPIE, Vol. 9242. 11 p. 924217

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  12. Antarctic boundary layer parametrization in a general circulation model: 1-D simulations facing summer observations at Dome C

    Vignon, E., Hourdin, F., Genthon, C., Gallée, H., Bazile, E., Lefebvre, M. P., Madeleine, J. B. & Van de wiel, B. J. H., 2017, In : Journal Of Geophysical Research-Atmospheres. 122, 13, p. 6818-6843

    Research output: Contribution to journalArticleScientificpeer-review

  13. Antenna array signal processing for multistatic radar systems

    Belfiori, F., 2013, Delft: Technische Universiteit Delft. 146 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  14. Assessment of factors influencing PM mass concentration measured by gravimetric & beta attenuation techniques at a suburban site

    Triantafyllou, E., Diapouli, E., Tsilibari, E. M., Adamopoulos, A. D., Biskos, G. & Eleftheriadis, K., 1 Apr 2016, In : Atmospheric Environment. 131, p. 409-417 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Assessment of the rain drop inertia effect for radar-based turbulence intensity retrievals

    Oude Nijhuis, A., Yanovsky, F. J., Krasnov, O., Unal, C., Russchenberg, H. & Yarovoy, A., 9 Jun 2016, In : International Journal of Microwave and Wireless Technologies. 8, 6, p. 835-844 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. Atmospheric composition in the Eastern Mediterranean: Influence of biomass burning during summertime using the WRF-Chem model

    Bossioli, E., Tombrou, M., Kalogiros, J., Allan, J., Bacak, A., Bezantakos, S., Biskos, G., Coe, H., Jones, B. T., Kouvarakis, G., Mihalopoulos, N. & Percival, C. J., 1 May 2016, In : Atmospheric Environment. 132, p. 317-331 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015

    Krotkov, N. A., McLinden, C. A., Li, C., Lamsal, L. N., Celarier, E. A., Marchenko, S. V., Swartz, W. H., Bucsela, E. J., Joiner, J., Duncan, B. N., Folkert Boersma, K., Veefkind, J. P., Levelt, P. F., Fioletov, V. E., Dickerson, R. R., He, H., Lu, Z. & Streets, D. G., 13 Apr 2016, In : Atmospheric Chemistry and Physics (online). 16, 7, p. 4605-4629 25 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Aura mission tracks global pollutant trends. By Jonathan Amos

    Levelt, PF., 15 Dec 2015

    Research output: Non-textual formWeb publication/sitePopular

  19. Automated classification of simulated wind field patterns from multiphysics ensemble forecasts

    Durán, P., Basu, S., Meißner, C. & Adaramola, M. S., 2020, In : Wind Energy. 23, 4, p. 898-914 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

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